Job Description:
1. Workforce Planning & Headcount Consolidation:
- Consolidate headcount requests from Back Office functions and validate against the approved structure.
- Analyze the rationale of manpower requests based on workload, role scope, and organizational design.
- Track Actual vs. Approved headcount and highlight discrepancies.
- Proactively challenge unclear or inconsistent manpower justifications using data-backed analysis.
2. Operational Workforce Analysis:
- Translate operational volume forecasts into manpower requirements using productivity benchmarks and service level assumptions.
- Analyze variances between model headcount, actual manpower, and operational performance.
- Identify workforce inefficiencies such as overstaffing, understaffing, or productivity gaps.
- Identify risks and recommend adjustments to workforce logic when assumptions no longer align with operational realities.
3. Workforce Monitoring & Reporting:
- Monitor weekly and monthly manpower movement, including hiring progress and attrition impact.
- Prepare periodic workforce reports with clear analysis and insights.
- Ensure accuracy, consistency, and integrity of workforce data across stations.
4. Continuous Improvement:
- Proactively identify gaps or weaknesses in existing headcount models and tracking processes.
- Recommend enhancements to productivity assumptions and manpower planning logic.
- Support the standardization of workforce planning frameworks across operations.
Requirements:
- Bachelor's degree in Business, Finance, HR Analytics, or related fields.
- From 2 years of experience in Workforce Planning, HR Analytics, Operations Planning, or Data Analysis related to manpower.
- Strong analytical and numerical skills, advanced Excel proficiency (complex formulas, data modeling, scenario analysis).
- Experience working with frontline operations (logistics, e-commerce, manufacturing, or service operations) is a plus.
- Ability to independently analyze data and challenge assumptions constructively.
- Strong communication skills.
- Close attention to detail and the ability to work with large datasets under tight timelines.
